Build your AI agent for network debugging
Run locally. Deploy anywhere. Free for 30 days.
Full access. No credit card. Self-managed on your infrastructure.
Run locally in minutes.
(z. B. sales@..., support@...)
Community Edition Includes
Start prototyping
Advanced indexing (HNSW, IVF), vector search APIs, and monitoring to support prototypes up to 5,000 vector embeddings.
No Credit Card
Download and start using VectorAI DB immediately. No billing setup required.
Fast Local Setup
Install, index data, and run queries in minutes with clear docs, quickstarts, and code samples.
Developer Community
Join our Discord to ask questions, share projects, and get help from other builders.
Häufige Fragen
VectorAI DB is built for portable AI, with a small footprint and low-latency vector search across embedded, edge, on-prem, hybrid, and cloud environments. It runs locally where your data lives, preserving predictable retrieval behavior without re-architecting between environments.
You can deploy on embedded systems, edge devices, on-prem infrastructure, hybrid environments, and self-managed cloud environments. It is designed to run reliably in restricted, air-gapped, and low-connectivity settings.
VectorAI DB supports Python and JavaScript and integrates with LangChain, LlamaIndex, and Hugging Face. It runs on ARM64 and x86 architectures, making it suitable for Raspberry Pi, NVIDIA Jetson, and production servers.
VectorAI DB uses ANN algorithms such as HNSW and IVF to deliver low-latency semantic search as embedding volumes grow. You can move from local prototype to production without changing architecture.
After 30 days, you will need to upgrade to continue full access. If you do not upgrade, your data remains intact and accessible in read-only mode as long as VectorAI DB stays installed on your machine.